Generic OS X Malware Detection Method Explained

When it comes to detecting OS X malware, the future may not be rooted in machine learning algorithms, but patterns and heatmap visualization, a researcher posits. In an academic paper published by Virus Bulletin on Monday, Vincent Van Mieghem, a former student at the Delft University of Technology in the Netherlands, describes how a recurring pattern he observed in OS X system calls can be used to indicate the presence of malware. Van Mieghem wrote the paper, “Behavioral Detection and Prevention of Malware on OS X,” (.PDF) while interning at Fox-IT but has since moved on to PricewaterhouseCoopers’ cybersecurity division. Thanks to @staatsgeheim @patrickwardle @osxreverser and @claud_xiao. https://t.co/Jzfj8AbRxM — Vincent Van Mieghem (@_vivami) September 12, 2016 By the numbers, the detection method Van Mieghem concocted is a success; it detected infections from 100…


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